R is a complete GIS tool
Simple feature collection with 177 features and 168 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: -180 ymin: -90 xmax: 180 ymax: 83.64513
Geodetic CRS: WGS 84
First 10 features:
featurecla scalerank labelrank sovereignt sov_a3
1 Admin-0 country 1 6 Fiji FJI
2 Admin-0 country 1 3 United Republic of Tanzania TZA
3 Admin-0 country 1 7 Western Sahara SAH
4 Admin-0 country 1 2 Canada CAN
5 Admin-0 country 1 2 United States of America US1
6 Admin-0 country 1 3 Kazakhstan KA1
7 Admin-0 country 1 3 Uzbekistan UZB
8 Admin-0 country 1 2 Papua New Guinea PNG
9 Admin-0 country 1 2 Indonesia IDN
10 Admin-0 country 1 2 Argentina ARG
adm0_dif level type tlc admin adm0_a3
1 0 2 Sovereign country 1 Fiji FJI
2 0 2 Sovereign country 1 United Republic of Tanzania TZA
3 0 2 Indeterminate 1 Western Sahara SAH
4 0 2 Sovereign country 1 Canada CAN
5 1 2 Country 1 United States of America USA
6 1 1 Sovereignty 1 Kazakhstan KAZ
7 0 2 Sovereign country 1 Uzbekistan UZB
8 0 2 Sovereign country 1 Papua New Guinea PNG
9 0 2 Sovereign country 1 Indonesia IDN
10 0 2 Sovereign country 1 Argentina ARG
geou_dif geounit gu_a3 su_dif subunit su_a3
1 0 Fiji FJI 0 Fiji FJI
2 0 Tanzania TZA 0 Tanzania TZA
3 0 Western Sahara SAH 0 Western Sahara SAH
4 0 Canada CAN 0 Canada CAN
5 0 United States of America USA 0 United States USA
6 0 Kazakhstan KAZ 0 Kazakhstan KAZ
7 0 Uzbekistan UZB 0 Uzbekistan UZB
8 0 Papua New Guinea PNG 1 Papua New Guinea PN1
9 0 Indonesia IDN 0 Indonesia IDN
10 0 Argentina ARG 0 Argentina ARG
brk_diff name name_long brk_a3 brk_name
1 0 Fiji Fiji FJI Fiji
2 0 Tanzania Tanzania TZA Tanzania
3 1 W. Sahara Western Sahara B28 W. Sahara
4 0 Canada Canada CAN Canada
5 0 United States of America United States USA United States
6 0 Kazakhstan Kazakhstan KAZ Kazakhstan
7 0 Uzbekistan Uzbekistan UZB Uzbekistan
8 0 Papua New Guinea Papua New Guinea PN1 Papua New Guinea
9 0 Indonesia Indonesia IDN Indonesia
10 0 Argentina Argentina ARG Argentina
brk_group abbrev postal formal_en formal_fr
1 <NA> Fiji FJ Republic of Fiji <NA>
2 <NA> Tanz. TZ United Republic of Tanzania <NA>
3 <NA> W. Sah. WS Sahrawi Arab Democratic Republic <NA>
4 <NA> Can. CA Canada <NA>
5 <NA> U.S.A. US United States of America <NA>
6 <NA> Kaz. KZ Republic of Kazakhstan <NA>
7 <NA> Uzb. UZ Republic of Uzbekistan <NA>
8 <NA> P.N.G. PG Independent State of Papua New Guinea <NA>
9 <NA> Indo. INDO Republic of Indonesia <NA>
10 <NA> Arg. AR Argentine Republic <NA>
name_ciawf note_adm0 note_brk
1 Fiji <NA> <NA>
2 Tanzania <NA> <NA>
3 Western Sahara <NA> Self admin.; Claimed by Morocco
4 Canada <NA> <NA>
5 United States <NA> <NA>
6 Kazakhstan <NA> <NA>
7 Uzbekistan <NA> <NA>
8 Papua New Guinea <NA> <NA>
9 Indonesia <NA> <NA>
10 Argentina <NA> <NA>
name_sort name_alt mapcolor7 mapcolor8 mapcolor9 mapcolor13
1 Fiji <NA> 5 1 2 2
2 Tanzania <NA> 3 6 2 2
3 Western Sahara <NA> 4 7 4 4
4 Canada <NA> 6 6 2 2
5 United States of America <NA> 4 5 1 1
6 Kazakhstan <NA> 6 1 6 1
7 Uzbekistan <NA> 2 3 5 4
8 Papua New Guinea <NA> 4 2 3 1
9 Indonesia <NA> 6 6 6 11
10 Argentina <NA> 3 1 3 13
pop_est pop_rank pop_year gdp_md gdp_year economy
1 889953 11 2019 5496 2019 6. Developing region
2 58005463 16 2019 63177 2019 7. Least developed region
3 603253 11 2017 907 2007 7. Least developed region
4 37589262 15 2019 1736425 2019 1. Developed region: G7
5 328239523 17 2019 21433226 2019 1. Developed region: G7
6 18513930 14 2019 181665 2019 6. Developing region
7 33580650 15 2019 57921 2019 6. Developing region
8 8776109 13 2019 24829 2019 6. Developing region
9 270625568 17 2019 1119190 2019 4. Emerging region: MIKT
10 44938712 15 2019 445445 2019 5. Emerging region: G20
income_grp fips_10 iso_a2 iso_a2_eh iso_a3 iso_a3_eh iso_n3
1 4. Lower middle income FJ FJ FJ FJI FJI 242
2 5. Low income TZ TZ TZ TZA TZA 834
3 5. Low income WI EH EH ESH ESH 732
4 1. High income: OECD CA CA CA CAN CAN 124
5 1. High income: OECD US US US USA USA 840
6 3. Upper middle income KZ KZ KZ KAZ KAZ 398
7 4. Lower middle income UZ UZ UZ UZB UZB 860
8 4. Lower middle income PP PG PG PNG PNG 598
9 4. Lower middle income ID ID ID IDN IDN 360
10 3. Upper middle income AR AR AR ARG ARG 032
iso_n3_eh un_a3 wb_a2 wb_a3 woe_id woe_id_eh
1 242 242 FJ FJI 23424813 23424813
2 834 834 TZ TZA 23424973 23424973
3 732 732 -99 -99 23424990 23424990
4 124 124 CA CAN 23424775 23424775
5 840 840 US USA 23424977 23424977
6 398 398 KZ KAZ -90 23424871
7 860 860 UZ UZB 23424980 23424980
8 598 598 PG PNG 23424926 23424926
9 360 360 ID IDN 23424846 23424846
10 032 032 AR ARG 23424747 23424747
woe_note adm0_iso
1 Exact WOE match as country FJI
2 Exact WOE match as country TZA
3 Exact WOE match as country B28
4 Exact WOE match as country CAN
5 Exact WOE match as country USA
6 Includes Baykonur Cosmodrome as an Admin-1 states provinces KAZ
7 Exact WOE match as country UZB
8 Exact WOE match as country PN1
9 Exact WOE match as country IDN
10 Exact WOE match as country ARG
adm0_diff adm0_tlc adm0_a3_us adm0_a3_fr adm0_a3_ru adm0_a3_es adm0_a3_cn
1 <NA> FJI FJI FJI FJI FJI FJI
2 <NA> TZA TZA TZA TZA TZA TZA
3 <NA> B28 SAH MAR SAH SAH SAH
4 <NA> CAN CAN CAN CAN CAN CAN
5 <NA> USA USA USA USA USA USA
6 <NA> KAZ KAZ KAZ KAZ KAZ KAZ
7 <NA> UZB UZB UZB UZB UZB UZB
8 <NA> PN1 PNG PNG PNG PNG PNG
9 <NA> IDN IDN IDN IDN IDN IDN
10 <NA> ARG ARG ARG ARG ARG ARG
adm0_a3_tw adm0_a3_in adm0_a3_np adm0_a3_pk adm0_a3_de adm0_a3_gb adm0_a3_br
1 FJI FJI FJI FJI FJI FJI FJI
2 TZA TZA TZA TZA TZA TZA TZA
3 SAH MAR SAH SAH SAH SAH SAH
4 CAN CAN CAN CAN CAN CAN CAN
5 USA USA USA USA USA USA USA
6 KAZ KAZ KAZ KAZ KAZ KAZ KAZ
7 UZB UZB UZB UZB UZB UZB UZB
8 PNG PNG PNG PNG PNG PNG PNG
9 IDN IDN IDN IDN IDN IDN IDN
10 ARG ARG ARG ARG ARG ARG ARG
adm0_a3_il adm0_a3_ps adm0_a3_sa adm0_a3_eg adm0_a3_ma adm0_a3_pt adm0_a3_ar
1 FJI FJI FJI FJI FJI FJI FJI
2 TZA TZA TZA TZA TZA TZA TZA
3 SAH MAR MAR SAH MAR SAH SAH
4 CAN CAN CAN CAN CAN CAN CAN
5 USA USA USA USA USA USA USA
6 KAZ KAZ KAZ KAZ KAZ KAZ KAZ
7 UZB UZB UZB UZB UZB UZB UZB
8 PNG PNG PNG PNG PNG PNG PNG
9 IDN IDN IDN IDN IDN IDN IDN
10 ARG ARG ARG ARG ARG ARG ARG
adm0_a3_jp adm0_a3_ko adm0_a3_vn adm0_a3_tr adm0_a3_id adm0_a3_pl adm0_a3_gr
1 FJI FJI FJI FJI FJI FJI FJI
2 TZA TZA TZA TZA TZA TZA TZA
3 SAH SAH SAH MAR MAR MAR SAH
4 CAN CAN CAN CAN CAN CAN CAN
5 USA USA USA USA USA USA USA
6 KAZ KAZ KAZ KAZ KAZ KAZ KAZ
7 UZB UZB UZB UZB UZB UZB UZB
8 PNG PNG PNG PNG PNG PNG PNG
9 IDN IDN IDN IDN IDN IDN IDN
10 ARG ARG ARG ARG ARG ARG ARG
adm0_a3_it adm0_a3_nl adm0_a3_se adm0_a3_bd adm0_a3_ua adm0_a3_un adm0_a3_wb
1 FJI FJI FJI FJI FJI -99 -99
2 TZA TZA TZA TZA TZA -99 -99
3 SAH MAR SAH SAH SAH -99 -99
4 CAN CAN CAN CAN CAN -99 -99
5 USA USA USA USA USA -99 -99
6 KAZ KAZ KAZ KAZ KAZ -99 -99
7 UZB UZB UZB UZB UZB -99 -99
8 PNG PNG PNG PNG PNG -99 -99
9 IDN IDN IDN IDN IDN -99 -99
10 ARG ARG ARG ARG ARG -99 -99
continent region_un subregion region_wb
1 Oceania Oceania Melanesia East Asia & Pacific
2 Africa Africa Eastern Africa Sub-Saharan Africa
3 Africa Africa Northern Africa Middle East & North Africa
4 North America Americas Northern America North America
5 North America Americas Northern America North America
6 Asia Asia Central Asia Europe & Central Asia
7 Asia Asia Central Asia Europe & Central Asia
8 Oceania Oceania Melanesia East Asia & Pacific
9 Asia Asia South-Eastern Asia East Asia & Pacific
10 South America Americas South America Latin America & Caribbean
name_len long_len abbrev_len tiny homepart min_zoom min_label max_label
1 4 4 4 -99 1 0.0 3.0 8.0
2 8 8 5 -99 1 0.0 3.0 8.0
3 9 14 7 -99 1 4.7 6.0 11.0
4 6 6 4 -99 1 0.0 1.7 5.7
5 24 13 6 -99 1 0.0 1.7 5.7
6 10 10 4 -99 1 0.0 2.7 7.0
7 10 10 4 5 1 0.0 3.0 8.0
8 16 16 6 -99 1 0.0 2.5 7.5
9 9 9 5 -99 1 0.0 1.7 6.7
10 9 9 4 -99 1 0.0 2.0 7.0
label_x label_y ne_id wikidataid name_ar
1 177.97543 -17.826099 1159320625 Q712 فيجي
2 34.95918 -6.051866 1159321337 Q924 تنزانيا
3 -12.63030 23.967592 1159321223 Q6250 الصحراء الغربية
4 -101.91070 60.324287 1159320467 Q16 كندا
5 -97.48260 39.538479 1159321369 Q30 الولايات المتحدة
6 68.68555 49.054149 1159320967 Q232 كازاخستان
7 64.00543 41.693603 1159321405 Q265 أوزبكستان
8 143.91022 -5.695285 1159321173 Q691 بابوا غينيا الجديدة
9 101.89295 -0.954404 1159320845 Q252 إندونيسيا
10 -64.17333 -33.501159 1159320331 Q414 الأرجنتين
name_bn name_de name_en
1 ফিজি Fidschi Fiji
2 তানজানিয়া Tansania Tanzania
3 পশ্চিম সাহারা Westsahara Western Sahara
4 কানাডা Kanada Canada
5 মার্কিন যুক্তরাষ্ট্র Vereinigte Staaten United States of America
6 কাজাখস্তান Kasachstan Kazakhstan
7 উজবেকিস্তান Usbekistan Uzbekistan
8 পাপুয়া নিউগিনি Papua-Neuguinea Papua New Guinea
9 ইন্দোনেশিয়া Indonesien Indonesia
10 আর্জেন্টিনা Argentinien Argentina
name_es name_fa name_fr
1 Fiyi فیجی Fidji
2 Tanzania تانزانیا Tanzanie
3 Sahara Occidental صحرای غربی Sahara occidental
4 Canadá کانادا Canada
5 Estados Unidos ایالات متحده آمریکا États-Unis
6 Kazajistán قزاقستان Kazakhstan
7 Uzbekistán ازبکستان Ouzbékistan
8 Papúa Nueva Guinea پاپوآ گینه نو Papouasie-Nouvelle-Guinée
9 Indonesia اندونزی Indonésie
10 Argentina آرژانتین Argentine
name_el name_he name_hi
1 Φίτζι פיג'י फ़िजी
2 Τανζανία טנזניה तंज़ानिया
3 Δυτική Σαχάρα סהרה המערבית पश्चिमी सहारा
4 Καναδάς קנדה कनाडा
5 Ηνωμένες Πολιτείες Αμερικής ארצות הברית संयुक्त राज्य अमेरिका
6 Καζακστάν קזחסטן कज़ाख़िस्तान
7 Ουζμπεκιστάν אוזבקיסטן उज़्बेकिस्तान
8 Παπούα Νέα Γουινέα פפואה גינאה החדשה पापुआ न्यू गिनी
9 Ινδονησία אינדונזיה इंडोनेशिया
10 Αργεντινή ארגנטינה अर्जेण्टीना
name_hu name_id name_it
1 Fidzsi-szigetek Fiji Figi
2 Tanzánia Tanzania Tanzania
3 Nyugat-Szahara Sahara Barat Sahara Occidentale
4 Kanada Kanada Canada
5 Amerikai Egyesült Államok Amerika Serikat Stati Uniti d'America
6 Kazahsztán Kazakhstan Kazakistan
7 Üzbegisztán Uzbekistan Uzbekistan
8 Pápua Új-Guinea Papua Nugini Papua Nuova Guinea
9 Indonézia Indonesia Indonesia
10 Argentína Argentina Argentina
name_ja name_ko name_nl
1 フィジー 피지 Fiji
2 タンザニア 탄자니아 Tanzania
3 西サハラ 서사하라 Westelijke Sahara
4 カナダ 캐나다 Canada
5 アメリカ合衆国 미국 Verenigde Staten van Amerika
6 カザフスタン 카자흐스탄 Kazachstan
7 ウズベキスタン 우즈베키스탄 Oezbekistan
8 パプアニューギニア 파푸아뉴기니 Papoea-Nieuw-Guinea
9 インドネシア 인도네시아 Indonesië
10 アルゼンチン 아르헨티나 Argentinië
name_pl name_pt name_ru name_sv
1 Fidżi Fiji Фиджи Fiji
2 Tanzania Tanzânia Танзания Tanzania
3 Sahara Zachodnia Sara Ocidental Западная Сахара Västsahara
4 Kanada Canadá Канада Kanada
5 Stany Zjednoczone Estados Unidos США USA
6 Kazachstan Cazaquistão Казахстан Kazakstan
7 Uzbekistan Uzbequistão Узбекистан Uzbekistan
8 Papua-Nowa Gwinea Papua-Nova Guiné Папуа — Новая Гвинея Papua Nya Guinea
9 Indonezja Indonésia Индонезия Indonesien
10 Argentyna Argentina Аргентина Argentina
name_tr name_uk name_ur
1 Fiji Фіджі فجی
2 Tanzanya Танзанія تنزانیہ
3 Batı Sahra Західна Сахара مغربی صحارا
4 Kanada Канада کینیڈا
5 Amerika Birleşik Devletleri Сполучені Штати Америки ریاستہائے متحدہ امریکا
6 Kazakistan Казахстан قازقستان
7 Özbekistan Узбекистан ازبکستان
8 Papua Yeni Gine Папуа Нова Гвінея پاپوا نیو گنی
9 Endonezya Індонезія انڈونیشیا
10 Arjantin Аргентина ارجنٹائن
name_vi name_zh name_zht fclass_iso tlc_diff
1 Fiji 斐济 斐濟 Admin-0 country <NA>
2 Tanzania 坦桑尼亚 坦尚尼亞 Admin-0 country <NA>
3 Tây Sahara 西撒哈拉 西撒哈拉 Admin-0 dependency <NA>
4 Canada 加拿大 加拿大 Admin-0 country <NA>
5 Hoa Kỳ 美国 美國 Admin-0 country <NA>
6 Kazakhstan 哈萨克斯坦 哈薩克 Admin-0 country <NA>
7 Uzbekistan 乌兹别克斯坦 烏茲別克 Admin-0 country <NA>
8 Papua New Guinea 巴布亚新几内亚 巴布亞紐幾內亞 Admin-0 country <NA>
9 Indonesia 印度尼西亚 印度尼西亞 Admin-0 country <NA>
10 Argentina 阿根廷 阿根廷 Admin-0 country <NA>
fclass_tlc fclass_us fclass_fr fclass_ru fclass_es fclass_cn
1 Admin-0 country <NA> <NA> <NA> <NA> <NA>
2 Admin-0 country <NA> <NA> <NA> <NA> <NA>
3 Admin-0 dependency <NA> Unrecognized <NA> <NA> <NA>
4 Admin-0 country <NA> <NA> <NA> <NA> <NA>
5 Admin-0 country <NA> <NA> <NA> <NA> <NA>
6 Admin-0 country <NA> <NA> <NA> <NA> <NA>
7 Admin-0 country <NA> <NA> <NA> <NA> <NA>
8 Admin-0 country <NA> <NA> <NA> <NA> <NA>
9 Admin-0 country <NA> <NA> <NA> <NA> <NA>
10 Admin-0 country <NA> <NA> <NA> <NA> <NA>
fclass_tw fclass_in fclass_np fclass_pk fclass_de fclass_gb fclass_br
1 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
2 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
3 <NA> Unrecognized <NA> <NA> <NA> <NA> <NA>
4 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
5 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
6 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
7 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
8 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
9 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
10 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
fclass_il fclass_ps fclass_sa fclass_eg fclass_ma fclass_pt
1 <NA> <NA> <NA> <NA> <NA> <NA>
2 <NA> <NA> <NA> <NA> <NA> <NA>
3 <NA> Unrecognized Unrecognized <NA> Unrecognized <NA>
4 <NA> <NA> <NA> <NA> <NA> <NA>
5 <NA> <NA> <NA> <NA> <NA> <NA>
6 <NA> <NA> <NA> <NA> <NA> <NA>
7 <NA> <NA> <NA> <NA> <NA> <NA>
8 <NA> <NA> <NA> <NA> <NA> <NA>
9 <NA> <NA> <NA> <NA> <NA> <NA>
10 <NA> <NA> <NA> <NA> <NA> <NA>
fclass_ar fclass_jp fclass_ko fclass_vn fclass_tr fclass_id
1 <NA> <NA> <NA> <NA> <NA> <NA>
2 <NA> <NA> <NA> <NA> <NA> <NA>
3 <NA> <NA> <NA> <NA> Unrecognized Unrecognized
4 <NA> <NA> <NA> <NA> <NA> <NA>
5 <NA> <NA> <NA> <NA> <NA> <NA>
6 <NA> <NA> <NA> <NA> <NA> <NA>
7 <NA> <NA> <NA> <NA> <NA> <NA>
8 <NA> <NA> <NA> <NA> <NA> <NA>
9 <NA> <NA> <NA> <NA> <NA> <NA>
10 <NA> <NA> <NA> <NA> <NA> <NA>
fclass_pl fclass_gr fclass_it fclass_nl fclass_se fclass_bd fclass_ua
1 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
2 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
3 Unrecognized <NA> <NA> Unrecognized <NA> <NA> <NA>
4 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
5 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
6 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
7 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
8 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
9 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
10 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
geometry
1 MULTIPOLYGON (((180 -16.067...
2 MULTIPOLYGON (((33.90371 -0...
3 MULTIPOLYGON (((-8.66559 27...
4 MULTIPOLYGON (((-122.84 49,...
5 MULTIPOLYGON (((-122.84 49,...
6 MULTIPOLYGON (((87.35997 49...
7 MULTIPOLYGON (((55.96819 41...
8 MULTIPOLYGON (((141.0002 -2...
9 MULTIPOLYGON (((141.0002 -2...
10 MULTIPOLYGON (((-68.63401 -...

https://r-spatial.github.io/sf/articles/sf1.html
POLYGONSimple feature collection with 1 feature and 1 field
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: -111.0546 ymin: 40.99477 xmax: -104.0522 ymax: 45.00582
Geodetic CRS: WGS 84
# A tibble: 1 × 2
NAME geometry
<chr> <POLYGON [°]>
1 Wyoming ((-106.3212 40.99912, -106.3262 40.99927, -106.3265 40.99927, -106.33…

POINTSimple feature collection with 1 feature and 1 field
Geometry type: POINT
Dimension: XY
Bounding box: xmin: -104.8373 ymin: 41.13005 xmax: -104.8373 ymax: 41.13005
Geodetic CRS: WGS 84
# A tibble: 1 × 2
objectid geometry
<dbl> <POINT [°]>
1 6703 (-104.8373 41.13005)

LINESTRINGSimple feature collection with 1 feature and 4 fields
Geometry type: LINESTRING
Dimension: XY
Bounding box: xmin: -107.5054 ymin: 41.74157 xmax: -106.8305 ymax: 41.78956
Geodetic CRS: NAD83
# A tibble: 1 × 5
linearid fullname rttyp mtfcc geometry
<chr> <chr> <chr> <chr> <LINESTRING [°]>
1 11010932011560 US Hwy 30 U S1100 (-106.8305 41.74157, -106.8314 41.74161,…

MULTIPOLYGONSimple feature collection with 1 feature and 0 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: -71.89239 ymin: 41.14656 xmax: -71.12052 ymax: 42.01888
Geodetic CRS: WGS 84
# A tibble: 1 × 1
geometry
<MULTIPOLYGON [°]>
1 (((-71.53173 41.3792, -71.53177 41.37915, -71.53182 41.37915, -71.53187 41.37…

MULTIPOINTSimple feature collection with 1 feature and 0 fields
Geometry type: MULTIPOINT
Dimension: XY
Bounding box: xmin: -110.9853 ymin: 41.12704 xmax: -104.4527 ymax: 44.97646
Geodetic CRS: WGS 84
# A tibble: 1 × 1
geometry
<MULTIPOINT [°]>
1 ((-104.8373 41.13005), (-110.7649 43.4779), (-104.8406 41.12704), (-104.8406 …

MULTILINESTRINGSimple feature collection with 1 feature and 0 fields
Geometry type: MULTILINESTRING
Dimension: XY
Bounding box: xmin: -111.0545 ymin: 40.9972 xmax: -104.0525 ymax: 45.00457
Geodetic CRS: NAD83
# A tibble: 1 × 1
geometry
<MULTILINESTRING [°]>
1 ((-106.4019 42.85946, -106.402 42.85933, -106.4036 42.85766, -106.4039 42.857…

Simple feature collection with 1 feature and 1 field
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: -111.0546 ymin: 40.99477 xmax: -104.0522 ymax: 45.00582
Geodetic CRS: WGS 84
# A tibble: 1 × 2
NAME geometry
<chr> <POLYGON [°]>
1 Wyoming ((-106.3212 40.99912, -106.3262 40.99927, -106.3265 40.99927, -106.33…
Simple feature collection with 1 feature and 0 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: -71.89239 ymin: 41.14656 xmax: -71.12052 ymax: 42.01888
Geodetic CRS: WGS 84
# A tibble: 1 × 1
geometry
<MULTIPOLYGON [°]>
1 (((-71.53173 41.3792, -71.53177 41.37915, -71.53182 41.37915, -71.53187 41.37…
Simple feature collection with 1 feature and 0 fields
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: -71.89239 ymin: 41.14656 xmax: -71.12052 ymax: 42.01888
Geodetic CRS: WGS 84
geometry
1 POLYGON ((-71.89239 41.1465...

Simple feature collection with 1 feature and 1 field
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: -111.0546 ymin: 40.99477 xmax: -104.0522 ymax: 45.00582
Geodetic CRS: WGS 84
# A tibble: 1 × 2
NAME geometry
<chr> <POLYGON [°]>
1 Wyoming ((-106.3212 40.99912, -106.3262 40.99927, -106.3265 40.99927, -106.33…
Simple feature collection with 1 feature and 1 field
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: -1250364 ymin: 2027604 xmax: -633753.5 ymax: 2539525
Projected CRS: NAD83 / Conus Albers
# A tibble: 1 × 2
NAME geometry
* <chr> <POLYGON [m]>
1 Wyoming ((-859557.4 2045615, -859974.4 2045677, -859994.4 2045680, -860968.8 …


geometry ColumnSimple feature collection with 1 feature and 1 field
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: -111.0546 ymin: 40.99477 xmax: -104.0522 ymax: 45.00582
Geodetic CRS: WGS 84
# A tibble: 1 × 2
NAME geometry
<chr> <POLYGON [°]>
1 Wyoming ((-106.3212 40.99912, -106.3262 40.99927, -106.3265 40.99927, -106.33…
# A tibble: 8,583 × 2
longitude latitude
<dbl> <dbl>
1 -106.3212 40.99912
2 -106.3262 40.99927
3 -106.3265 40.99927
4 -106.3382 40.99953
5 -106.3414 40.99957
6 -106.3464 40.99964
7 -106.3514 40.99997
8 -106.3540 40.99997
9 -106.3588 41.00014
10 -106.3756 41.00072
# ℹ 8,573 more rows

sf object called africa.Examine your object, ensuring you can identify its geometry type, dimensions, bounding box, coordinate reference system and geometry column.
If you want to try making a static with the geom_sf() function from ggplot and/or an interactive map with the mapview() function from the {mapview} package.
https://r-spatial.github.io/sf/articles/sf1.html
Consists of multiple files:
.shp: The main file that contains the geometry data (shapes) of the features..shx: The shape index file, which stores the positional index of the feature geometry to improve access speed..dbf: The attribute format file, which stores attribute data in a tabular format. This file uses the dBase format.In addition to these three mandatory files, there are several optional files that can accompany a shapefile:
.prj: The projection file, which contains coordinate system and projection information..sbn and .sbx: Spatial index files that improve the speed of spatial queries..fbn and .fbx: Files used for spatial indexing of features that have been deleted..ain and .aih: Attribute index files that improve the speed of attribute queries..ixs and .mxs: Geocoding index for read-write and read-only datasets, respectively..cpg: The code page file, which specifies the character encoding used in the .dbf file.Import data with read_sf()
Simple feature collection with 4 features and 9 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: -13674130 ymin: 5689875 xmax: -13633520 ymax: 5724898
Projected CRS: WGS 84 / Pseudo-Mercator
# A tibble: 4 × 10
OBJECTID DISTRICT pop_total Ideal_pop Diff_Ideal DDeviation ODeviation
<int> <chr> <int> <dbl> <int> <dbl> <dbl>
1 1 1 159498 163125.8 -3628 -2.223898 4.992467
2 2 2 160716 163125.8 -2410 -1.477235 4.992467
3 3 3 167642 163125.8 4516 2.768570 4.992467
4 4 4 164647 163125.8 1521 0.9325628 4.992467
# ℹ 3 more variables: Shape_Leng <dbl>, Shape_Area <dbl>,
# geometry <MULTIPOLYGON [m]>
TODO: center slide
Simple feature collection with 4 features and 9 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: -13674130 ymin: 5689875 xmax: -13633520 ymax: 5724898
Projected CRS: WGS 84 / Pseudo-Mercator
# A tibble: 4 × 10
OBJECTID DISTRICT pop_total Ideal_pop Diff_Ideal DDeviation ODeviation
<int> <chr> <int> <dbl> <int> <dbl> <dbl>
1 1 1 159498 163125.8 -3628 -2.223898 4.992467
2 2 2 160716 163125.8 -2410 -1.477235 4.992467
3 3 3 167642 163125.8 4516 2.768570 4.992467
4 4 4 164647 163125.8 1521 0.9325628 4.992467
# ℹ 3 more variables: Shape_Leng <dbl>, Shape_Area <dbl>,
# geometry <MULTIPOLYGON [m]>
One file with everything you need embedded within it
Import GeoJSON city council data from PortlandMaps Open Data
Simple feature collection with 4 features and 9 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: -122.8368 ymin: 45.43254 xmax: -122.472 ymax: 45.65289
Geodetic CRS: WGS 84
# A tibble: 4 × 10
OBJECTID DISTRICT pop_total Ideal_pop Diff_Ideal DDeviation ODeviation
<int> <chr> <int> <dbl> <int> <dbl> <dbl>
1 1 1 159498 163125.8 -3628 -2.223898 4.992467
2 2 2 160716 163125.8 -2410 -1.477235 4.992467
3 3 3 167642 163125.8 4516 2.768570 4.992467
4 4 4 164647 163125.8 1521 0.9325628 4.992467
# ℹ 3 more variables: Shape_Length <dbl>, Shape_Area <dbl>,
# geometry <MULTIPOLYGON [°]>
TODO: center slide
read_sf()Download data (ESRI Shapefile or GeoJSON) on Portland sextants
Import the data in R using the read_sf() function from the sf package and save it as portland_sextants
Examine portland_sextants, making sure you can identify its geometry type, dimensions, bounding box, coordinate reference system and geometry column
https://r-spatial.github.io/sf/articles/sf2.html
sf Objectsst_as_sf()# A tibble: 38,492 × 2
longitude latitude
<dbl> <dbl>
1 -122.6607 45.60120
2 -122.6606 45.60167
3 -122.6605 45.60116
4 -122.6604 45.60164
5 -122.6603 45.60056
6 -122.6603 45.60072
7 -122.6602 45.60079
8 -122.6551 45.59178
9 -122.6546 45.59212
10 -122.6538 45.59125
# ℹ 38,482 more rows
Simple feature collection with 38492 features and 0 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: -122.8301 ymin: 45.43283 xmax: -122.4619 ymax: 45.63909
Geodetic CRS: WGS 84
# A tibble: 38,492 × 1
geometry
* <POINT [°]>
1 (-122.6607 45.6012)
2 (-122.6606 45.60167)
3 (-122.6605 45.60116)
4 (-122.6604 45.60164)
5 (-122.6603 45.60056)
6 (-122.6603 45.60072)
7 (-122.6602 45.60079)
8 (-122.6551 45.59178)
9 (-122.6546 45.59212)
10 (-122.6538 45.59125)
# ℹ 38,482 more rows
Download this CSV of traffic signal data for the city of Portland
Import the CSV and turn it into an sf object using st_as_sf()
Run mapview::mapview() to ensure you imported it correctly
# A tibble: 2 × 4
building address lat long
<chr> <chr> <dbl> <dbl>
1 White House 1600 Pennsylvania Ave NW, Washington, DC 205… 38.89770 -77.03655
2 Number 10 10 Downing St, London SW1A 2AA, United Kingd… 51.50349 -0.1277054
# A tibble: 2 × 4
building address lat long
<chr> <chr> <dbl> <dbl>
1 White House 1600 Pennsylvania Ave NW, Washington, DC 205… 38.89770 -77.03655
2 Number 10 10 Downing St, London SW1A 2AA, United Kingd… 51.50349 -0.1277054
# A tibble: 2 × 8
building address city state postal_code country lat long
<chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl>
1 White House 1600 Pennsylva… Wash… DC 20500 United… 38.89770 -77.03655
2 Number 10 10 Downing St Lond… <NA> SW1A 2AA United… NA NA
# A tibble: 2 × 8
building address city state postal_code country lat long
<chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl>
1 White House 1600 Pennsylv… Wash… DC 20500 United… 38.89770 -77.03655
2 Number 10 10 Downing St Lond… <NA> SW1A 2AA United… 51.50334 -0.127611